1. Explore Azure Databricks
Azure Databricks is a cloud service that provides a scalable platform for data analytics using Apache Spark.
Click here to know more
2. Use Apache Spark in Azure Databricks
Azure Databricks is built on Apache Spark and enables data engineers and analysts to run Spark jobs to transform, analyze and visualize data at scale.
Click here to know more
3. Train a machine learning model in Azure Databricks
Machine learning involves using data to train a predictive model. Azure Databricks support multiple commonly used machine learning frameworks that you can use to train models.
Click here to know more
4. Use MLflow in Azure Databricks
MLflow is an open source platform for managing the machine learning lifecycle that is natively supported in Azure Databricks.
Click here to know more
5. Track Azure Databricks experiments in Azure Machine Learning
Azure Machine Learning is a scalable cloud platform for training, deploying, and managing machine learning solutions.
Click here to know more
6. Deploy Azure Databricks models in Azure Machine Learning
You can use Azure Databricks to train machine learning models, and deploy the trained models in Azure Machine Learning endpoints.
Click here to know more